Energy harvesting technologies for powering WPAN and IoT devices for industry 4.0 up-gradation.

Energy harvesting technologies for powering WPAN and IoT devices for industry 4.0 up-gradation.

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Bibliographic Details
Imprint:New York : Nova Science Publishers, Inc., 2020.
Description:1 online resource.
Language:English
Series:Renewable energy : research, development and policies
Subject:
Energy harvesting.
Internet of things -- Power supply.
Wireless LANs -- Power supply.
Energy harvesting.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12650285
Hidden Bibliographic Details
Other authors / contributors:Dhass, A. D., author.
Nova Science Publishers, publisher.
ISBN:9781536169447
1536169447
9781536169430
Notes:Includes bibliographical references and index.
Description based on print version record and CIP data provided by publisher; resource not viewed.
Summary:"Energy harvesting is the procedure for deriving, capturing and storing energy from external sources. Power is a very important part of any system, and for Internet of Things and WPAN, managing power is the biggest challenge. This book aims to explore the methods and systems to generate energy and use it efficiently for IoT applications to upgrade the Industries. The book comprises of ten chapters. Chapter 1 describes the low power renewable power supply through thermo electric generators. The main aim of this chapter is to familiarize the energy harvesting among the various sources of renewable energy (Solar light, Vibration, Heat, RFID, Wind and Hybrid energy) and to provide electrical output in the range of 1 [mu]W to few Watts for low power devices (Wireless Networks/ IoTs). Chapter 2 describes the concept of distributed generation as a part of the smart grid that is proposed at IKG Punjab Technical University. The proposed smart micro grid includes the Distributed Generation based on renewable resources like solar PV and biogas as an individual and hybrid energy system. Chapter 3 proposed the energy harvesting types for end sensor nodes for pipeline monitoring in remote areas and addressed challenges for future advanced energy harvesting for sensor nodes. Chapter 4 described the fundamental concept, latest developments and applications addressing the related theoretical and practical aspects on wireless communication. In Chapter 5 different renewable energy harvesting technique has been discussed. Solar power optimization has been done to make more efficient harvesting techniques. Chapter 6 gives a review on energy harvesting and storage. In Chapter 7 the design and development of energy harvesting system is reviewed. Chapter 8 proposed an idea to implement a street light management system which can work on self power generation method based on piezoelectric techniques and communication module for analysing and transferring of data to the cloud or the web server for real time application. Chapter 9 proposed an architecture where in the bins XBee network is used to connect nearby control unit of local municipal authority and from the control authority, LoRa network is used to communicate to long range and also these bins are assisted with solar panel for providing the power supply to devices that are existed in the architecture. Chapter 10 presented the study to optimize the process parameters for biofuel production by transesterification of algal oil using KOH as catalyst"--
Other form:Print version: Energy harvesting technologies for powering WPAN and IoT devices for industry 4.0 up-gradatio New York : Nova Science Publishers, Inc., 2020. 9781536169430
Table of Contents:
  • Intro
  • Contents
  • Preface
  • Acknowledgments
  • Chapter 1
  • Low Power Renewable Power Supply through Thermo Electric Generators
  • Abstract
  • Nomenclature
  • Introduction
  • Types of Renewable Energy Systems
  • Solar Energy
  • Vibration Energy
  • Heat Energy
  • Radio Frequency (RF) Energy
  • Wind Energy
  • Hybrid Energy
  • Autonomous Power Supply System
  • Description of Thermo Electric Generators
  • Types of Thermo Electric Materials for Electrical Energy
  • Working Principal
  • Performance Evaluation
  • Conclusion
  • References
  • Chapter 2
  • Techno-Economic Analysis of Hybrid Optimization Model: A Case Study
  • Abstract
  • List of Abbreviations
  • 1. Introduction
  • 2. Hybrid Renewable Energy System
  • 2.1. Solar Energy System
  • 2.2. Biomass Energy System
  • 2.3. Energy Storage Energy System
  • 3. HOMER Software
  • Power Sources
  • Storage
  • 4. Case Study
  • 4.1. Methodology
  • 4.2. Case 1: Solar Energy System
  • 4.3. Case 2: Biomass Energy System
  • 4.4. Case 3: Hybrid Energy System
  • 5. Results and Discussion
  • 5.1. Case 1 Solar Energy System
  • 5.1.1. Optimization Analysis
  • 5.1.2. Sensitivity Analysis
  • 5.2. Case 2: Biomass Energy System
  • 5.2.1. Optimization Analysis
  • 5.2.2. Sensitivity Analysis
  • 5.3. Case 3: Hybrid Energy System
  • 5.3.1. HOMER Optimization Results
  • 5.3.2. HOMER Sensitivity Analysis
  • 5.4. Comparison of Individual and Hybrid Models
  • Conclusion
  • References
  • Chapter 3
  • Development of Solar Energy Harvesting Mechanism to Power Up Sensor Node to Monitor the Parameters of Pipeline Using XBee Technology
  • Abstract
  • 1. Introduction
  • 2. Review of Literature
  • 2.1. Energy Harvesting Sources
  • 2.1.1. Solar Energy
  • 2.1.2. Radiant Energy
  • 2.1.3. Radio Frequency Energy
  • 2.1.4. Mechanical Energy
  • 2.1.5. Thermal Energy
  • 2.2. Hybrid Energy-Harvesting Systems
  • 2.2.1. Solar/Thermal Systems
  • 2.2.2. Solar/Thermal/Electromagnetic Systems
  • 3. Proposed Architecture of Solar Energy System for Pipeline Monitoring
  • 3.1.1. Monitoring Section
  • 3.1.2. Safety Operation Controller
  • 3.1.3. LoRa and Zigbee Protocols
  • 4. Research Challenges
  • 4.1. Hybrid Harvester
  • 4.2. Miniaturization of Systems
  • 4.3. Efficient Prediction Techniques
  • 4.4. Self-Healing Sensor Nodes
  • 4.5. Energy Storage
  • 4.6. Theft Control
  • Conclusion

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